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While researching a topic for my book I cam across the original paper that helped spawn the concept of Yesterday's Weather. That is the probability that amount of work you will do next week is highly likely to be the same as the amount of work you did last week.
Abstract
In this study, the authors used 111 time series to examine the accuracy of various forecasting methods, particularly time-series methods. The study shows, at least for time series, why some methods achieve greater accuracy than others for different types of data. The authors offer some explanation of the seemingly conflicting conclusions of past empirical research on the accuracy of forecasting. One novel contribution of the paper is the development of regression equations expressing accuracy as a function of factors such as randomness, seasonality, trend-cycle and the number of data points describing the series. Surprisingly, the study shows that for these 111 series simpler methods perform well in comparison to the more complex and statistically sophisticated ARMA models.
devZing has a good post on how to delete bugs in Bugzilla.
All Bugzilla instances have been updated to 3.4.6. You can read about all the changes here or just the differences below.
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MantisBT 1.2.0 is finally out. We'll be starting the upgrade evaluation process shortly. In the meantime you can still get an instant activation trial to MantisBT 1.1.8.
The next revision of our open source project management hosting service is now live - devZing.com
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All Bugzilla instances have been updated to 3.4.5 in order to resolve a security issue announced yesterday.
You can read the release announcement here.
All Bugzilla instances have been updated to 3.4.4 in order to resolve a security issue announced yesterday.
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